Predicting Cognitive Recovery of Stroke Patients from the Structural MRI Connectome Using a Naïve Bayesian Tree Classifier

Rosalia Dacosta-Aguayo, Christian Stephan-Otto, Tibor Auer, Ic Clemente, Antoni Davalos, Nuria Bargallo, Maria Mataro, Manousos A. Klados

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages413-418
Number of pages6
Volume2017-June
ISBN (Electronic)9781538617106
DOIs
Publication statusPublished - 2017
Event30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 - Thessaloniki, Greece
Duration: 22 Jun 201724 Jun 2017

Conference

Conference30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
Country/TerritoryGreece
CityThessaloniki
Period22/06/1724/06/17

Keywords

  • cognitive recovery
  • Naïve Bayesian Tree
  • Stroke
  • structural connectome

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